Software Engineer, Systems

Anthropic New York City , NY 10008

Posted 1 week ago

About the role:

Anthropic is seeking an experienced engineer for our Systems team. You'll lead initiatives supporting some of the largest, most sophisticated clusters in industry used to train, research, and ultimately serve AI models. Your work will be crucial in ensuring Anthropic is able to continue reliably and safely training frontier models!

Responsibilities:

  • Lead build out of industry-leading AI clusters (thousands to hundreds of thousands of machines), partnering closely with cloud service providers on cluster build out and required features

  • Consult with different stakeholders to deeply understand infrastructure and compute needs, identifying potential solutions to support frontier research and product development

  • Set technical strategy and oversee development of high scale, reliable infrastructure systems

  • Mentor top technical talent

  • Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

You may be a good fit if you:

  • 8 industry experience, as well as 3 years of experience leading large scale, complex projects or teams as an engineer or tech lead

  • Are obsessed with infrastructure reliability, scalability, security, and continuous improvement

  • Have a passion for supporting internal partners like research to understand their needs

  • Have excellent communication skills to build consensus with stakeholders, both internally and externally

  • Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP

Strong candidates may also:

  • Have security and privacy best practice expertise

  • Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL

  • Low level systems experience, for example linux kernel tuning and eBPF

  • Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

Deadline to apply: None. Applications will be reviewed on a rolling basis.


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